Grey Wolf Optimizer for Virtual Network Embedding in SDN-Enabled Cloud Environment
作者： Abderrahim Bouchair , Sid Ahmed Makhlouf , Yagoubi Belabbas
DOI: 10.1007/978-3-030-36778-7_35
关键词:
摘要: Network technologies are dealing with a massive urge to breakthrough the fundamental endorsements of networks. Software-Defined Networking (SDN) is taking lead in cloud Data Centers (DCs) ensure resource management many policy adaptations, regarding performance Virtualization (NV) that must find appropriate hardware components map either Virtual Machine (VM) or virtual link, which resume general concept Embedding (VNE). In this paper, Grey Wolf Optimizer (GWO) represented as an intelligent approach for solving VNE problem SDN consolidation. It recent meta-heuristic low complex processing. Our implementation based on CloudSimSDN extension from CloudSim simulation tool. The results indicate maximizing utilization localhost resources maintain considerable amount energy consumption and consequently will provide better physical DCs.
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sci-hub.st 参考文章(15)
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